Senior DevOps & Azure Infrastructure Engineer

Senior DevOps & Azure Infrastructure Engineer.

Role Overview

We are seeking a highly skilled DevOps & Azure Infrastructure Engineer with strong expertise in Azure Cloud, Terraform, Kubernetes, GitHub, CI/CD, and Infrastructure Automation. The role will be responsible for designing, implementing, automating, and supporting scalable cloud infrastructure, deployment pipelines, and operational processes across multiple product teams, including enterprise applications, cloud-native platforms, and AI enablement initiatives.

Key Responsibilities

Cloud Infrastructure & Automation

• Design, implement, and manage Infrastructure as Code (IaC) solutions using Terraform.

• Provision and maintain Azure cloud services, including:

• Azure Databricks

• Azure Data Factory (ADF)

• Azure Data Lake Storage (ADLS Gen2)

• Virtual Networks (VNets), Subnets, NSGs

• Private Endpoints and Private Link

• Develop reusable Terraform modules and enforce infrastructure best practices.

• Manage cloud infrastructure deployments across Azure and support multi-cloud environments where applicable.

DevOps & CI/CD

• Build, maintain, and optimize CI/CD pipelines using Azure DevOps, GitHub Actions, and GitHub.
• Support application releases, deployment activities, and release coordination.
• Manage source control repositories, branching strategies, and development workflows.
• Automate deployment, monitoring, and operational processes.

Kubernetes & Platform Operations

• Deploy, manage, and support Kubernetes environments:

• Azure Kubernetes Service (AKS)

• Google Kubernetes Engine (GKE) (preferred)

• Maintain containerized applications and platform services.

• Support infrastructure scalability, availability, and reliability.

Infrastructure & Network Management

• Configure and manage:

• VNet Peering

• Private Link / Private Endpoints

• Firewall Rules

• Network Security Groups (NSGs)

• Load Balancers

• VPN Connectivity

• Implement security, governance, compliance, and access control standards.

Monitoring & Operational Support

• Troubleshoot infrastructure, deployment, and application issues.
• Monitor infrastructure performance, optimize costs, and improve reliability.
• Provide operational support for production and non-production environments.
• Collaborate with Engineering, Infrastructure, Data Engineering, and AI teams to support platform operations.

Required Technical Skills

Cloud & Infrastructure

• Microsoft Azure (Advanced)
• Terraform (Azure Provider)
• Infrastructure as Code (IaC)
• Azure Databricks
• Azure Data Factory (ADF)
• Azure Data Lake Storage (ADLS Gen2)

DevOps & Source Control

• GitHub
• GitHub Actions
• Azure DevOps
• CI/CD Pipeline Development
• Release Management
• Source Control & Branching Strategies

Containerization & Orchestration

• Kubernetes (AKS)
• Knowledge of Kubernetes (GKE) is an added advantage

Networking & Security

• Azure Networking

• VNets

• Subnets

• NSGs

• Load Balancers

• VPN

• Private Endpoints

• RBAC

• Managed Identities

• Azure Key Vault

• Security and Governance Controls

Databases & Scripting

• SQL Server
• SQL Scripting
• Knowledge of C#, Perl, and ColdFusion is an advantage

Monitoring & Operations

• Infrastructure Monitoring & Logging
• Production Support
• Incident Troubleshooting
• Deployment Automation

Preferred Skills

• Experience with Google Cloud Platform (GCP).
• Experience supporting AI/ML platform infrastructure.
• Exposure to multi-cloud environments.
• Knowledge of infrastructure cost optimization and governance frameworks.

Soft Skills

• Strong problem-solving and analytical skills.
• Excellent communication and stakeholder management.
• Ability to work independently and collaboratively in cross-functional teams.
• Strong documentation and process improvement mindset.

Key Deliverables

• Automated, scalable, and secure cloud infrastructure.
• Reliable CI/CD and deployment pipelines.
• Well-managed Kubernetes platforms and cloud services.
• Robust monitoring, operational support, and incident management.
• Comprehensive infrastructure documentation and best practices.
• Successful release and deployment management across multiple product teams.